Research on Cigarette Filter Rod Counting System Based on Machine Vision

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Research on Cigarette Filter Rod Counting System Based on Machine Vision

Qu, Hongjun / Zhang, Peijian / Zhang, Kun / Wu, Jianguo

Abstract The traditional method for on-line detection of cigarette filter stick packing is manual sampling, which has low efficiency, high labor cost and can’t detect all products. Therefore, it is necessary to establish a set of image processing system [10] based on machine vision. This system uses CCD image sensor to get the filter rod section image, through the image smoothing, edge detection, Binarization and feature extraction, the region of interest is analyzed, and finally get the number of filter rods. The filter rod arrangement on the production line is not completely flat. Using the dynamic area threshold method to calculate the number of filter rod in the flat area. 3D reconstruction of a single image is used to calculate the number of filter rod in the uneven area. The accuracy and practicability of the system are verified by theoretical analysis and experimental comparison.